RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms.

Zhang Y, Banta A, Fu Y, John MM, Post A, Razavi M, Cavallaro J, Aazhang B, Lin Y

DOI: 10.1145/3465372
Published: 2022 Apr
Container: ACM journal on emerging technologies in computing systems
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1145/3465372,
  title = {RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms.},
  author = {Zhang Y and Banta A and Fu Y and John MM and Post A and Razavi M and Cavallaro J and Aazhang B and Lin Y},
  year = {2022},
  journal = {ACM journal on emerging technologies in computing systems},
  doi = {10.1145/3465372},
  url = {https://doi.org/10.1145/3465372}
}

RIS

TY  - JOUR
TI  - RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms.
AU  - Zhang Y
AU  - Banta A
AU  - Fu Y
AU  - John MM
AU  - Post A
AU  - Razavi M
AU  - Cavallaro J
AU  - Aazhang B
AU  - Lin Y
PY  - 2022
JO  - ACM journal on emerging technologies in computing systems
DO  - 10.1145/3465372
UR  - https://doi.org/10.1145/3465372
ER  -

APA

Y, Z., A, B., Y, F., MM, J., A, P., M, R., J, C., B, A., & Y, L. (2022). RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms.. ACM journal on emerging technologies in computing systems. https://doi.org/10.1145/3465372

Source records

pubmed · retrieved 2026-11-10T21:39:05.755Z
europe-pmc · retrieved 2026-11-10T21:39:05.769Z